Centre for Doctoral Training in Mathematics for Real-World Systems

a partnership of: Warwick Complexity Science

Warwick Systems Biology

Warwick Infectious Disease Epidemiology Research

MathSys is one of the newest batch of Centres for Doctoral Training funded by EPSRC, with support from MRC, 13 external partners and the University of Warwick. It is dedicated to tackling real-world problems that require the development of novel mathematics. These problems arise from our strong interaction with a range of external partners from industry, finance and health, who represent some of the leading establishments in the UK. It is our belief that modern mathematics and statistics are a core building block for tackling many of the global challenges facing society and that there is a rapidly increasing demand for researchers with the mathematical skills needed.

"this bid has the potential to shift the current state of the art in the training of cohorts of new researchers to combine cutting-edge mathematical skills with the ability to understand and model real-world systems"

Dame Julie Moore,
University Hospitals Birmingham

Our aim is to develop the new generation of researchers needed to tackle key challenges facing science, business and society, particularly where these involve complex, nonlinear, uncertain and stochastic systems. These new researchers will be trained to think broadly and combine cutting-edge mathematical skills with the ability to understand and model real-world systems, analyse complex data sets, work well in multidisciplinary teams and be excellent communicators.

"We're looking for Mathsys to help us with actionable insights to some of the most intractable problems and opportunities facing our organisation in the early 21st Century"

Al Saje
Jaguar & Land Rover

MathSys will take the form of a 1+3 year MSc and PhD.

The first year is dedicated to developing a broad portfolio of mathematical techniques and partaking in small research problems with a strong emphasis on applied questions and practical approaches. Courses will be taught in Networks & Random Processes, Applied Dynamical Systems, Numerical Methods, Statistical Mechanics, Statistical Inference, and Modern Topics in Mathematical Modelling.

Each PhD project will address a real-world system. PhD research projects studied in MathSys will be linked by a common set of shared mathematical techniques. This means that even projects in very different fields (say epidemics and finance) can learn from each other and have a similar mathematical philosophy. Common mathematical elements include:

"The MathSys CDT provides a great resource to address important public health questions associated with emerging disease with novel mathematics"

Ian Hall
Public Health England

Model construction and analysis

Dynamics of Systems

Extracting Structure from Data

Networks

Optimisation, Control & Robustness

PhD research projects will be based around interactions with our external partners or will deal with applied questions that match the expertise of the MathSys staff. Broad areas of potential research projects include:

"Systems biology, mathematics and data evaluation are becoming central to cancer research and indeed are changing the landscape of biological research in general. Multidisciplinary team working is clearly the future of biological research"